Technical Product Manager, Trust & Safety

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $180k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚒️ Technical Product Manager (TPM)

👻 Ghost score 20%

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InnoData

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• Define and ship data products for frontier labs training and evaluating AI models for personalization, computer-use, and GDPval tasks • Translate lab research goals into product specifications for safety training data, RL environments, and evaluations • Design sandboxed RL environments with misalignment traps, cyber traps, honeypots, and other adversarial scenarios • Specify safe-behavior rubrics, verifiers, and reward signals for agentic tasks • Define measurable safety and trust metrics, including attack success rate, over-refusal, trap trigger rate, and task completion under adversarial pressure • Track blind spots and drive product iteration • Frame problems, assess business and technical tradeoffs, and distinguish MVP from ideal state • Collaborate with lab researchers, ML and platform engineers, red-teamers, policy experts, and delivery leads managing expert annotator pools • Monitor agentic risks, alignment research, and emerging attack techniques and convert them into roadmap items • Write product specifications, customer briefs, and safety findings for researchers and executives • Build cyber-trap environment suites, integrity-trap tasks, misalignment evaluation harnesses, and trap libraries with quality frameworks

🎯 Requirements

• 5+ years of product management experience, including technical products in ML, AI data, security, or trust & safety • Hands-on familiarity with LLM training and evaluation, including SFT, RLHF/RLAIF, reward models, verifiers, and benchmark design • Working knowledge of agentic AI, tool use, computer-use agents, multi-step planning, and related failure modes • Strong grasp of AI safety concepts including reward hacking, deceptive alignment, jailbreaks, and prompt injection • Technical depth to read code, review environment specifications, and make sound technical tradeoffs • Experience designing metrics that capture risk, system performance, and user impact • Track record of shipping 0-to-1 products in fast-moving, ambiguous environments • Ability to explain complex technical ideas clearly to researchers, customers, and executives • Creative, adversarial thinking and ability to anticipate model shortcuts and risks • Comfort with Python and sandboxed environments (Docker, VMs, browser automation) is a plus

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